---
license: apache-2.0
base_model: chronopt-research/vietnamese-gpt2-medium
tags:
- generated_from_trainer
datasets:
- duongttr/JD-Data-56k-clean
metrics:
- accuracy
model-index:
- name: results
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: duongttr/JD-Data-56k-clean
      type: duongttr/JD-Data-56k-clean
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8983410461950713
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# results

This model is a fine-tuned version of [chronopt-research/vietnamese-gpt2-medium](https://huggingface.co/chronopt-research/vietnamese-gpt2-medium) on the duongttr/JD-Data-56k-clean dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5219
- Accuracy: 0.8983

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3